Skip to content

Commit 289440c

Browse files
authored
Update README.md
1 parent 2028f75 commit 289440c

File tree

1 file changed

+10
-19
lines changed

1 file changed

+10
-19
lines changed

README.md

Lines changed: 10 additions & 19 deletions
Original file line numberDiff line numberDiff line change
@@ -83,16 +83,18 @@ ${ROOT}
8383
| | | |-- rootnet_rhd_output.json
8484
| |-- InterHand2.6M
8585
| | |-- annotations
86-
| | | |-- all
87-
| | | |-- human_annot
88-
| | | |-- machine_annot
89-
| | |-- images
9086
| | | |-- train
87+
| | | |-- test
9188
| | | |-- val
89+
| | |-- images
90+
| | | |-- train
9291
| | | |-- test
92+
| | | |-- val
9393
| | |-- rootnet_output
94-
| | | |-- rootnet_interhand2.6m_output_all_test.json
95-
| | | |-- rootnet_interhand2.6m_output_machine_annot_val.json
94+
| | | |-- rootnet_interhand2.6m_output_test.json
95+
| | | |-- rootnet_interhand2.6m_output_test_30fps.json
96+
| | | |-- rootnet_interhand2.6m_output_val.json
97+
| | | |-- rootnet_interhand2.6m_output_val_30fps.json
9698
```
9799
* Download InterHand2.6M data [[HOMEPAGE](https://mks0601.github.io/InterHand2.6M/)]
98100
* Download STB parsed data [[images](https://www.dropbox.com/sh/ve1yoar9fwrusz0/AAAfu7Fo4NqUB7Dn9AiN8pCca?dl=0)] [[annotations](https://github.com/facebookresearch/InterHand2.6M/releases/download/v1.0/STB.annotations.zip)]
@@ -122,35 +124,24 @@ ${ROOT}
122124
### Train
123125
In the `main` folder, run
124126
```bash
125-
python train.py --gpu 0-3 --annot_subset $SUBSET
127+
python train.py --gpu 0-3
126128
```
127129
to train the network on the GPU 0,1,2,3. `--gpu 0,1,2,3` can be used instead of `--gpu 0-3`. If you want to continue experiment, run use `--continue`.
128130

129-
`$SUBSET` is one of [`all`, `human_annot`, `machine_annot`].
130-
* `all`: Combination of the human and machine annotation. `Train (H+M)` in the paper.
131-
* `human_annot`: The human annotation. `Train (H)` in the paper.
132-
* `machine_annot`: The machine annotation. `Train (M)` in the paper.
133-
134131

135132
### Test
136133
Place trained model at the `output/model_dump/`.
137134

138135
In the `main` folder, run
139136
```bash
140-
python test.py --gpu 0-3 --test_epoch 20 --test_set $DB_SPLIT --annot_subset $SUBSET
137+
python test.py --gpu 0-3 --test_epoch 20 --test_set $DB_SPLIT
141138
```
142139
to test the network on the GPU 0,1,2,3 with `snapshot_20.pth.tar`. `--gpu 0,1,2,3` can be used instead of `--gpu 0-3`.
143140

144141
`$DB_SPLIT` is one of [`val`,`test`].
145142
* `val`: The validation set. `Val` in the paper.
146143
* `test`: The test set. `Test` in the paper.
147144

148-
149-
`$SUBSET` is one of [`all`, `human_annot`, `machine_annot`].
150-
* `all`: Combination of the human and machine annotation. `(H+M)` in the paper.
151-
* `human_annot`: The human annotation. `(H)` in the paper.
152-
* `machine_annot`: The machine annotation. `(M)` in the paper.
153-
154145
## Results
155146
Here I provide the performance and pre-trained snapshots of InterNet, and output of the [RootNet](https://github.com/mks0601/3DMPPE_ROOTNET_RELEASE) as well.
156147
### Pre-trained InterNet

0 commit comments

Comments
 (0)